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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(12) | [
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(12) | [
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[
"Quantized Emdedding Models - Qdrant",
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[
"Quantized Emdedding Models - Qdrant",
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] | p | So you’re the perfect guy to talk to about this very topic that we are doing today. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,275 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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] | p | Now, if anyone has questions, feel free to throw them into the chat and I will ask Nirant as he’s going through it. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,276 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(12) | [
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] | p | I will also take this moment to encourage anyone who is watching to come and join us in discord, if you are not already there for the Qdrant discord. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,277 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(13) | [
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[
"Quantized Emdedding Models - Qdrant",
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"tags",
"tags/quantized-emdedding-models"
] | 16,279 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(13) | [
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"tags",
"tags/quantized-emdedding-models"
] | 16,280 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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[
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] | p | It’s actually two problems. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,283 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(14) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(14) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(14) | [
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"tags",
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(14) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
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] | p | So you can make embeddings from almost anything. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,289 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(14) | [
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] | p | Now, what do we want to do though? | [
"tags",
"tags/quantized-emdedding-models"
] | 16,290 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(14) | [
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[
"Quantized Emdedding Models - Qdrant",
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(15) | [
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"tags",
"tags/quantized-emdedding-models"
] | 16,293 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(15) | [
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] | p | In this case, we want to make sure that embeddings capture some form of meaning of, let’s say, text or images. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,294 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(15) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(15) | [
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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"tags",
"tags/quantized-emdedding-models"
] | 16,299 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(15) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(15) | [
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[
"Quantized Emdedding Models - Qdrant",
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[
"Quantized Emdedding Models - Qdrant",
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] | p | And that means that all the extra compute and features and everything that you have stored for training time are wasted in production. | [
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(16) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | p | It’s extremely infuriating but we do this all the time with embedding and that is what fast embed primarily tries to fix. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,305 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(16) | [
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] | p | We say embeddings from the lens of production and we say that how can we make a Python library which is built for speed, efficiency and accuracy? | [
"tags",
"tags/quantized-emdedding-models"
] | 16,306 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(16) | [
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] | p | Those are the core ethos in that sense. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,307 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(16) | [
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] | p | And I think people really find this relatable as a problem area. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,308 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(16) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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"tags",
"tags/quantized-emdedding-models"
] | 16,310 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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] | p | So for 8 million tokens we took about 3 hours on a MacBook Pro M one while some other Olama embedding took over two days. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,311 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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[
"Quantized Emdedding Models - Qdrant",
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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"tags",
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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"tags",
"tags/quantized-emdedding-models"
] | 16,315 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | p | That’s the idea. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,318 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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[
"Quantized Emdedding Models - Qdrant",
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"tags",
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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"tags",
"tags/quantized-emdedding-models"
] | 16,326 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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] | p | We want to make sure it’s still easy to use, right? | [
"tags",
"tags/quantized-emdedding-models"
] | 16,327 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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] | p | Like there is no reason for this to get complicated. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,328 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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] | p | And let’s say this is all in tokens per second and the token is model specific. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,331 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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"tags",
"tags/quantized-emdedding-models"
] | 16,332 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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] | p | So that’s the idea. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,333 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(19) | [
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[
"Quantized Emdedding Models - Qdrant",
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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[
"Quantized Emdedding Models - Qdrant",
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[
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[
"Quantized Emdedding Models - Qdrant",
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[
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[
"Quantized Emdedding Models - Qdrant",
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] | p | There we go. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,343 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
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"tags",
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(23) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(23) | [
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] | p | Tell us how it went for you, where it’s working, where it’s broken, all of that. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,347 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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[
"Quantized Emdedding Models - Qdrant",
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] | p | That’s it. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,350 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(24) | [
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] | p | There we go. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,351 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(24) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | p | So we said fast and light. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,355 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
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] | p | When I say image, I mean typically or docker image that can typically go to a few GPS. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,358 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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[
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[
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[
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] | p | So your dependencies are very large. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,363 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(26) | [
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(26) | [
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"tags",
"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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] | p | That is very slow and very inefficient if you are working in a workload which is very spiky. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,366 |
[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(26) | [
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"tags",
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[
"Quantized Emdedding Models - Qdrant",
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] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(26) | [
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[
"Quantized Emdedding Models - Qdrant",
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"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
] | /tags/quantized-emdedding-models/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(26) | [
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"tags/quantized-emdedding-models"
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[
"Quantized Emdedding Models - Qdrant",
"Transcript:"
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] | p | And that’s another spike. | [
"tags",
"tags/quantized-emdedding-models"
] | 16,371 |
Subsets and Splits